TBPN

RSI Is Closer Than People Think, Per Tae Kim

July 29, 2026·31 min
Episode Description from the Publisher

This is our full interview with Tae Kim.We discussed why the AI trade is being misunderstood, why Kimi and better open-weight models could increase compute demand instead of reducing it, Meta's AI spending, NVIDIA's open-weight strategy, the race toward RSI, why data center fears are overblown, AMD's expanding AI market forecast, the future of agentic AI, NVIDIA's CUDA moat, and much more.TBPN is made possible by:Ramp - https://ramp.comPublic - https://public.comCisco - https://www.cisco.comConsole - https://www.console.comCrowdStrike - https://www.crowdstrike.comFigma - https://www.figma.comMongoDB - https://www.mongodb.comNYSE - https://www.nyse.comRailway - https://railway.comShopify - https://www.shopify.com/Codex - http://openAI.com/codexSign up for TBPN’s daily newsletter at TBPN.comFollow TBPN:https://TBPN.comhttps://x.com/tbpnhttps://open.spotify.com/show/2L6WMqY3GUPCGBD0dX6p00?si=674252d53acf4231https://podcasts.apple.com/us/podcast/technology-brothers/id1772360235https://www.youtube.com/@TBPNLive

Podzilla Summary coming soon

Sign up to get notified when the full AI-powered summary is ready.

Get Free Summaries →

Free forever for up to 3 podcasts. No credit card required.

Listen to This Episode

Get summaries like this every morning.

Free AI-powered recaps of TBPN and your other favorite podcasts, delivered to your inbox.

Get Free Summaries →

Free forever for up to 3 podcasts. No credit card required.